Scientist, Advanced Microscopy (Data Science & TEM)

Eurofins•Phoenix, AZ

5d•$115,000 - $130,000

About The Position

Eurofins EAG Laboratories is seeking a Data Scientist to support and advance data-driven analysis across our materials characterization and analytical testing services, with an emphasis on TEM (Transmission Electron Microscopy). This role applies data science, statistics, and machine learning to complex, multi-modal laboratory data generated from a broad range of analytical techniques. The Data Scientist partners closely with scientists, engineers, and operational teams to improve data quality, automation, insight generation, and analytical capabilities in support of client-driven testing services.

Requirements

MS or PhD in Materials Science, Data Science, Engineering, Physics, Chemistry, or a related field.
Strong background in TEM principles, operation of S/TEM, EDS/EELS, and automation.
Demonstrated experience applying data science or statistical methods in a laboratory, engineering, or applied science environment.
Proficiency in Python and common scientific data analysis libraries (e.g., NumPy, Pandas, SciPy, scikit-learn).
Experience working with experimental, sensor, image, spectral, or time-series data.
Strong written and verbal communication skills.
Strong foundation in statistics, data analysis, and applied machine learning.
Ability to evaluate model performance and understand limitations of scientific datasets.
Familiarity with machine learning frameworks such as PyTorch or TensorFlow for applied use cases.
Experience with data visualization and scientific reporting.
Ability to work collaboratively in a fast-paced, client-focused analytical services environment.
Ability to continuously operate a personal computer or lab equipment for extended periods of time (4 or more hours).
Ability to operate a keyboard and other lab equipment, use a telephone, access file cabinets and other items stored at various levels, including overhead.
Must be able to remain in a stationary position 80% of the time.
Ability to communicate clearly and understandably ensure an accurate exchange of information in normal conversational distance, over the telephone, and in a group setting.
Ability to handle small and fragile devices with tweezers and /or fingers.
Require close distance visual acuity with or without correction (Glasses, Contacts, etc.)
Must be willing and able to wear PPE such as hard-hat, steel-toed shoes, safety glasses, laboratory coat and/or any other devices or equipment that is required.
Learn new tasks, remember processes, maintain focus, complete tasks independently, make timely decisions in the context of a workflow, ability to communicate with visitors, ability to complete tasks in situations that have a speed or productivity quota.
Ability to move equipment or items up to 50 lbs.

Nice To Haves

Experience applying advanced machine learning techniques such as deep learning or representation learning to scientific datasets.
Familiarity with image, spectral, time-series, or multi-modal data modeling.
Exposure to modern neural network architectures (e.g., CNNs, RNNs, transformers) and understanding when advanced methods are appropriate.
Knowledge of signal processing or feature extraction techniques used in scientific instrumentation data.
Familiarity with model lifecycle practices such as experiment tracking, versioning, and reproducibility.

Responsibilities

Responsible for building algorithms and developing software to automate the TEM data collection and processing using computer science techniques (computer vision, machine learning, etc.).
Apply data science and machine learning methods to analyze, model, and interpret materials characterization data across multiple analytical techniques, including microscopy, spectroscopy, diffraction, and other physical or chemical testing methods.
Support the data process from various materials characterization techniques including TEM, SEM, EDS, XRD, XPS and RBS.
Develop and tune TEM automation on cutting edge TEM microscopes.
Perform image processing - including image enhancement, segmentation, measurement and visualization on 2D and 3D data sets.
Proactive in developing new TEM technologies (such as 4D STEM) to meet new demands from customers.
Collect S/TEM, EDS/EELS data and prepare reports per instructions.
Support TEM jobs including S/TEM, EDS/EELS.
Develop and maintain data analysis workflows and pipelines that improve efficiency, reproducibility, and scalability of laboratory data processing.
Perform statistical analysis, feature extraction, and exploratory data analysis to identify trends, anomalies, and correlations in experimental data.
Build, validate, and document predictive or classification models to support materials characterization, failure analysis, process optimization, and customer reporting.
Collaborate with laboratory scientists and engineers to translate experimental and customer questions into data-driven solutions.
Support automation and standardization of data collection, processing, and reporting where appropriate.
Communicate analytical results clearly to technical and non-technical stakeholders.
Contribute to continuous improvement initiatives related to analytical capabilities, data infrastructure, and quality systems.